Location: Home :: Books on Research :: General AAS :: Nonparametric Statistics: An Introduction (Quantitative Applications in the Social Sciences)

Need a quick gift? Try Amazon gift certificates.

Don't Forget To Visit:

The New Social Worker Online

SocialWorkJobBank

Online Continuing Education for Social Workers

Amazon.com Widgets

Related Categories

•	General AAS

Qualifying Textbooks

Custom Stores

Specialty Stores

•	Methodology

•

Nonparametric Statistics: An Introduction (Quantitative Applications in the Social Sciences)

enlarge

Author: Jean D. Gibbons
Publisher: Sage Publications, Inc
Category: Book

List Price: ~~$16.95~~
Buy Used: $9.45
You Save: $7.50 (44%)

New (21) Used (10) from $9.45

Media: Paperback
Number Of Items: 1
Pages: 96
Shipping Weight (lbs): 0.2
Dimensions (in): 8.3 x 5.4 x 0.4

ISBN: 0803939515
Dewey Decimal Number: 519.5
EAN: 9780803939516
ASIN: 0803939515

Publication Date: October 7, 1992
Availability: Usually ships in 1-2 business days

Similar Items:

•	Nonparametric Measures of Association (Quantitative Applications in the Social Sciences)
•	Introduction to Factor Analysis: What It Is and How To Do It (Quantitative Applications in the Social Sciences)
•	Factor Analysis: Statistical Methods and Practical Issues (Quantitative Applications in the Social Sciences)
•	Analysis of Ordinal Data (Quantitative Applications in the Social Sciences)
•	Logistic Regression: A Primer (Quantitative Applications in the Social Sciences)

Editorial Reviews:

Product Description
p"bNonparametric Statistics/b is a short and sweet introduction to the five most familiar nonparametric location tests and associated confidence intervals and multiple comparisons. . . . This book is extremely limited in coverage, but none the worse for that. You won#x2019;t find anything on the Fisher Exact Test, or measures of association for the cases covered. What you will find is good, accurate, comprehensible accounts of location tests for two or more treatments. . . . The book is well-written throughout, with fewer than expected mistakes. . . . All in all, a good basic introduction to nonparametric tests, with few frills, as you would expect. The computer package comparisons sound very useful warning bells and are a welcome frill."/p p--British Journal of Mathematical and Statistical Psychology/p pUsing actual research investigations that have appeared in recent social science journals, Jean Dickinson Gibbons shows you the specific methodology and logical rationale for many of the best-known and most frequently used nonparametric methods (that are applicable for most small and large sample sizes). The methods are organized according to the type of sample structure that produced the data, and the inference types covered are limited to location tests, such as the sign test, the Mann-Whitney-Wilcoxon test, the Kruskal-Wallis test, and Friedman#x2019;s test. Formal introductions to each test are followed by a data example, calculated first by hand and then by computer. /p

Customer Reviews:

4 out of 5 stars

nice primer on nonparametrics March 26, 2008
31 out of 31 found this review helpful

Jean Gibbons is a leading researcher in nonparametric statistics and has published an excellent text on the topic. This monograph like most of the books in the Sage series is a concise non-technical treatment that serves as a primer on nonparametrics for the layman, particularly the social scientists. It is well-written and can serve as a good reference source. Books by (1)Conover, (2) Hollander and Wolfe and (3) Gibbons herself can be consulted for more details and more theory and applications.

4 out of 5 stars

Builds a good foundation on the subject. June 8, 2006
4 out of 5 found this review helpful

This book provides a good foundation for several nonparametric tests that are very practical in hypothesis testing. They substitute for the more standard unpaired and paired student t tests and ANOVA who all rely on the normal distribution assumption among other constraints. Whenever you deal with small samples the nonparametric test alternatives described in this book are much more robust. Thus, they are very useful. br /br /This small green book provides a lot of knowledge and information. However, to develop a full understanding of some of those tests you may have to study other sources besides this book. Indeed, some of the calculations and examples are not always crystal clear. When learning math that is often the case. You may learn one concept from one source, but get much clarification from a second source. If you can accept that, I strongly recommend this book. br /br /I am a big fan of this small green book math series. And, have learned much advanced statistics that way. This one book represents a good addition to my lengthening green book collection. br /

Copyright 2007 White Hat Communications.
Disclaimer: The products referenced on this site are manufactured and sold by parties other than The New Social Worker/White Hat Communications. We make no representations regarding either the products or any information vendors offer about their products.

Visit our poster store for unique social issues posters.

Amazon.com Widgets